Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

Abstract: With the popularity of cloud services, Cloud Block Storage (CBS) systems have been widely deployed by cloud providers. Cloud cache plays a vital role in maintaining high and stable ...

Cloudflare's CEO called this "Google's DeepSeek moment"- referring to China's disruptive AI model. The internet called it "Pied Piper," after the fictional compression algorithm in HBO's "Silicon ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

Nvidia stock tests a head-and-shoulders neckline after a 9% AI memory sell-off, with an 11% breakdown target in play.

Seagate Technology Holdings plc is downgraded to hold due to near-term risks from energy prices & potential AI CapEx ...

Bernstein upgrades Western Digital and raises targets on Seagate and Sandisk after Google's TurboQuant algorithm sparked a ...

Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on during inference. In a preprint, the team reports up to six times lower KV ...

Sandisk stock fell ~7% after Google TurboQuant, but compression applies only to KV cache, not total storage demand. Learn why SNDK stock is upgraded to strong buy.